Salesforce is one of the world’s most popular CRM (customer relationship management) software platforms, helping businesses of all sizes and industries beat their competitors and better serve their clients. But instead of keeping your Salesforce data inside the CRM platform itself, you can make better use of this information by moving it into a target data warehouse.

Amazon Redshift is one of the most prominent data warehousing leaders across companies of all industries and sizes, providing applications in analytics, reporting, business intelligence, etc. Using Amazon redshift will allow you to retrieve, compare, and evaluate large amounts of data in multiple-stage operations to deliver the desired outcome.

Most individuals who work in technology — and in particular, cloud computing — are likely aware of how service-oriented architecture (SOA) and microservices work. There is much discussion, however, regarding the best approaches for various situations. There are crucial differences in data governance, component sharing, and the architecture between SOA vs. microservices. In this article, you'll learn the basics of SOA vs.

The Health Insurance Portability and Accountability Act of 1996 (HIPAA) is a U.S. federal law. It sets national standards for health care providers to maintain the privacy of patients' protected health information (PHI), including electronically protected health information (ePHI). If you collect, store, or process any kind of patient or medical data, you need to be aware of HIPAA and how it affects your operations. But what does it really mean to be HIPAA compliant?

What should you know before getting started with ETL in Heroku? In this article, we provide a comprehensive guide to using Heroku ETL.

Imposter fraud is the second-most common type of fraud reported to the Federal Trade Commission, with around one-fifth of all cases resulting in financial loss to the victim. This often occurs because of a failure on the part of organizations to protect personally identifiable information (PII). Fraud is only one type of attack that may occur. Phishing is another exceptionally common data security threat. It often results from crawlers collecting email addresses, one type of PII, on the open web.

Personally identifiable information, or PII, is sensitive information that can identify an individual. Industry or data protection laws often regulate this type of data, requiring that organizations handle PII according to specific practices. It’s all too easy to make mistakes when working with PII, so we've highlighted six common scenarios to look out for.

Organizations collect and use personal data for a variety of purposes, often without considering the impact on data privacy. Individuals are increasingly more aware of how their data is being used and the lack of say they have over the process. Data privacy and protection regulations are in place around the world to protect consumers and stop their personal information from being misused.

Almost every aspect of our lives deals with data in some way. By 2025, the world could be producing 463 EB (exabytes, a unit equaling 1 billion gigabytes) of data each day. That’s why it’s more crucial than ever to keep personal data safe yet easily accessible to those allowed to view it.

Business intelligence (BI) teams include roles that sound similar at first, but each comes with its own distinct responsibilities and skillsets. By understanding each of these positions, you can build a BI team that delivers the solutions and capabilities to help your organization get the most out of big data.